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January Publications

February 5, 2020

Below is a selection of papers that appeared in January 2020  reporting the results of research using the Massachusetts Green High Performance Computing Center (MGHPCC), or acknowledging the use of Harvard’s Odyssey Cluster, Northeastern’s Discovery Cluster, the Boston University Shared Computing Cluster and MIT’s Engaging Cluster all of which are housed at the MGHPCC.

João Alves, Catherine Zucker, Alyssa A. Goodman, Joshua S. Speagle, Stefan Meingast, Thomas Robitaille, Douglas P. Finkbeiner, Edward F. Schlafly and Gregory M. Green (2020), A Galactic-scale gas wave in the solar neighborhood, Nature, doi: 10.1038/s41586-019-1874-z
Brian Arnold, Mashaal Sohail, Crista Wadsworth, Jukka Corander, William P Hanage, Shamil Sunyaev, Yonatan H Grad (2020), Fine-Scale Haplotype Structure Reveals Strong Signatures of Positive Selection in a Recombining Bacterial Pathogen, Molecular Biology and Evolution, doi: 10.1093/molbev/msz225
Amir Bitran, William M. Jacobs, Xiadi Zhai, and Eugene Shakhnovich (2020), Cotranslational folding allows misfolding-prone proteins to circumvent deep kinetic traps, PNAS, doi: 10.1073/pnas.1913207117
Andrés N Salcedo, Benjamin D Wibking, David H Weinberg, Hao-Yi Wu, Douglas Ferrer, Daniel Eisenstein, Philip Pinto (2020), Cosmology with stacked cluster weak lensing and cluster–galaxy cross-correlations, Monthly Notices of the Royal Astronomical Society, doi: 10.1093/mnras/stz2963
Debjani Sihi, Eric A. Davidson, Kathleen E. Savage, Dong Liang (2020), Simultaneous numerical representation of soil microsite production and consumption of carbon dioxide, methane, and nitrous oxide using probability distribution functions, Global Change Biology, doi: 10.1111/gcb.14855
Lindsay J. Underhill, W. Stuart Dols, Sharon K. Lee, M. Patricia Fabian and Jonathan I. Levy (2020), Quantifying the impact of housing interventions on indoor air quality and energy consumption using coupled simulation models, J Expo Sci Environ Epidemiol., doi: 10.1038/s41370-019-0197-3
V.V. Volkov, R. Chelli, R. Righini, C.C. Perry (2020), Indigo chromophores and pigments: Structure and dynamics, Dyes and Pigments, doi: 10.1016/j.dyepig.2019.107761
Yichao Wang Prof. Sooran Kim Dr. Jingyu Lu Guangyuan Feng Prof. Xin Li (2020), A Study of Cu Doping Effects in P2‐Na0.75Mn0.6Fe0.2(CuxNi0.2‐x)O2 Layered Cathodes for Sodium‐Ion Batteries, Batteries and Supercaps, doi: 10.1002/batt.201900172
Xiao Wu Yi Xu Bradley P. Carlin (2020), Optimizing interim analysis timing for Bayesian adaptive commensurate designs, Statistics in Medicine, doi: 10.1002/sim.8414
Sibin Yang, Dao-Xin Yao and Anders W. Sandvik (2020), Deconfined quantum criticality in spin-1/2 chains with long-range interactions, arXiv: 2001.02821 [physics.comp-ph]
Muni Zhou, Nuno F. Loureiro, Dmitri A. Uzdensky (2020), Multi-scale dynamics of magnetic flux tubes and inverse magnetic energy transfer, arXiv: 2001.07291 [astro-ph.HE]
Catherine Zucker, Joshua S. Speagle, Edward F. Schlafly, Gregory M. Green, Douglas P. Finkbeiner, Alyssa Goodman, João Alves (2020), A compendium of distances to molecular clouds in the Star Formation Handbook, arXiv: 2001.00591 [astro-ph.GA]
Do you have news about research using computing resources at the MGHPCC? If you have an interesting project that you want to tell people about or a paper you would like listed, contact 

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MGHPCC Publications

Research projects

Foldit
Dusty With a Chance of Star Formation
Checking the Medicine Cabinet to Interrupt COVID-19 at the Molecular Level
Not Too Hot, Not Too Cold But Still, Is It Just Right?​
Smashing Discoveries​
Microbiome Pattern Hunting
Modeling the Air we Breathe
Exploring Phytoplankton Diversity
The Computer Will See You Now
Computing the Toll of Trapped Diamondback Terrapins
Edging Towards a Greener Future
Physics-driven Drug Discovery
Modeling Plasma-Surface Interactions
Sensing Subduction Zones
Neural Networks & Earthquakes
Small Stars, Smaller Planets, Big Computing
Data Visualization using Climate Reanalyzer
Getting to Grips with Glassy Materials
Modeling Molecular Engines
Forest Mapping: When the Budworms come to Dinner
Exploring Thermoelectric Behavior at the Nanoscale
The Trickiness of Talking to Computers
A Genomic Take on Geobiology
From Grass to Gas
Teaching Computers to Identify Odors
From Games to Brains
The Trouble with Turbulence
A New Twist
A Little Bit of This… A Little Bit of That..
Looking Like an Alien!
Locking Up Computing
Modeling Supernovae
Sound Solution
Lessons in a Virtual Test Tube​
Crack Computing
Automated Real-time Medical Imaging Analysis
Towards a Smarter Greener Grid
Heading Off Head Blight
Organic Light-Harvesting Antennae
Art and AI
Excited by Photons
Tapping into an Ocean of Data
Computing Global Change
Star Power
Engineering the Human Microbiome
Computing Social Capital
Computers Diagnosing Disease
A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Wearable Health Technology
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute – Unlocking Intelligence
The Institute for Experiential AI
The Forensic Video Exploitation and Analysis (FOVEA) Tool Suite
The Center for Scientific Computing and Data Science Research (CSCDR)
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer – Sequence Evaluation in Realtime
Sensorimotor Technology Realization in Immersive Virtual Environments (STRIVE)
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
Refugee Migration and Return on Social Media
QuEra at the MGHPCC
Predicting Reaction Barrier Heights
Quantum Computing in Renewable Energy Development
Quantifying Risk, Resilience, and Uncertainty with Machine Learning and HPC
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
Predicting Kinetic Solvent Effects
OpenCilk
Offshore Precipitation Capability (OPC) System
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
NASA Arctic-Boreal Vulnerability Experiment (ABoVE)
Monte Carlo eXtreme (MCX) – a Physically-Accurate Photon Simulator
Modeling Molecular Dynamics for Drug Delivery
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Machine Learning and Wastewater
Lichtman Lab – Center for Brain Science
Measuring Neutrino Mass
Learning-Task Informed Abstractions
Large-Scale Brain Mapping
Invisible Tags
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Fuzzing the Linux Kernel
FlyNet
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
ElectroVoxels: Modular Self-reconfigurable Robots
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